Comparison of Local Mean Temperature Equations for GPS-based Precipitable Water Vapor Determination
Comparison of Local Mean Temperature Equations for GPS-based Precipitable Water Vapor Determination
复制标题
基于 GPS 的可降水量测定的当地平均温度方程比较
DOI：
10.5140/jass.2008.25.4.425
复制
发表时间：
2008
影响因子：
0.5
通讯作者：
Kwan
中科院分区：
文献类型：
--
作者：
J. Ha;Kwan
平均温度方程是计算GPS气象信息的关键因素。为了提高GPS PWV(可降水水汽)的精度，应采用局地平均温度方程。本文利用Ha&Park(2008)的4个局地平均温度方程Hp，分析了局地模式在确定GPS PWV中的作用。四组不同的GPS PWV与无线电探空仪PWV进行了比较，以验证本地模型的准确性。与无线电探空仪PWV相比，四个本地型号的GPS PWV具有相似的趋势。偏差和均方根误差是相同的水平：偏差是，去除偏差后的均方根是。特别是，有了模型，即使不需要测量表面温度，也可以获得准确的PWV。我们还研究了无线电探空仪测量的干偏差，这取决于传感器类型和在Sokcho气象站的观测时间。探空仪设备由RS80-15L改为GRS DFM-06后，探空仪PWV的干偏差在白天(KST 09：00)下降了约18.2%，在夜间(KST 21：00)下降了16.1%。
The mean temperature equation is a key factor in calculating GPS meteorological information. A local mean temperature equation should be used to improve accuracy of GPS PWV (Precipitable Water Vapor). In this paper, four local mean temperature equations, HP, from Ha & Park (2008) were used to analyze the effects of local models in determining GPS PWV. Four different sets of GPS PWVs were compared with radiosonde PWV to validate the accuracies of local models. GPS PWVs of four local models have similar trends compared against radiosonde PWV. The bias and RMS error were the same level: the bias is and the RMS is after the bias was removed. Especially, with models one can obtain accurate PWVs even without surface temperature measurements. And we investigated dry bias of radiosonde measurements depending on sensor types and observation time at Sokcho weather station. After the radiosonde sensor equipment was changed from RS80-15L to GRS DFM-06, dry bias of radiosonde PWV decreased about 18.2% during daytime (KST 09:00), and 16.1% during nighttime (KST 21:00).